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DC Field | Value | Language |
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dc.contributor.author | Chugh, Aryan | - |
dc.contributor.author | Mohana, Rajni [Guided by] | - |
dc.date.accessioned | 2023-09-07T10:41:47Z | - |
dc.date.available | 2023-09-07T10:41:47Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9876 | - |
dc.description | Enrolment No. 191409 | en_US |
dc.description.abstract | Diabetes has become a widespread non-communicable disease in modern times, with a prevalence rate of over 60%. The consumption of foods high in carbohydrates, fats, oils, nuts, and whole grains, coupled with factors like alcohol consumption, smoking, rising pollution levels, and high cholesterol, are some of the main reasons why the number of diabetes cases in India is on the rise. Early detection of diabetes can help prevent several severe health conditions that can significantly impact the quality of life for individuals suffering from the disease. As such, a system that can accurately diagnose whether a person has diabetes or not is necessary. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Cloud computing | en_US |
dc.subject | Expert system | en_US |
dc.subject | Diabeties | en_US |
dc.subject | Machine learning | en_US |
dc.title | Designing an Expert System for Diabetic Prediction using Cloud Computing | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Designing an Expert System for Diabetic Prediction using Cloud Computing.pdf | 1.69 MB | Adobe PDF | View/Open |
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